基于知识元的学术论文内容创新性智能化评价研究

[目的/意义] 创新性是对学术论文质量最基本的要求，是学术论文的灵魂，是学术论文评价的核心。知识元是学术论文基本组成单元。基于知识元理论和机器学习相关理论与算法，从学术论文内容层面研究计算机如何智能化地进行创新性评价及其实现过程与方法。[方法/过程] 首先，构建学术论文的研究问题、理论、方法、结论4个知识元本体，接着提出基于知识元的学术论文创新性判断模型。其次，根据学术论文研究特点，构建理论与方法机器分类模型及知识元的抽取规则与抽取方法，建立规则库和知识语料库。最后，基于语义相似度计算方法，根据判断规则和相关权重对学术论文4个维度的创新性进行评分。[结果/结论] 基于知识元抽取的学术论文创新性评分系统的实证结果表明，该智能化评价方法具有一定的可行性，可为学术论文内容创新性智能化评价系统的最终实现提供方法借鉴。     

专利被引频次的时间影响研究

[目的/意义]研究时间因素对专利被引频次的影响,可以减少时间因素对技术评价活动的制约,提高评价的准确性和可信度。[方法/过程]采集1975-2017年的美国专利数据,开展基于固定效应法的专利被引频次的修正研究。将专利按照不同公开年份和不同技术领域分组,选定组内均值和6个TOP分位数为被引频次基准,统计当前时间点的被引频次基准线及基准线的历史时序变化情况。建立神经网络模型,拟合基准线的时序变化规律,并预测未来统计时间点的基准线。[结果/结论]专利公开年份和统计年份的时间差异,使得专利被引频次无法直接进行比较。本文建立了基于不同技术领域、不同公开年份和不同统计年份的专利被引频次基准线,为专利评估提供参考。     

科技期刊编辑如何把好论文的学术质量关

科技期刊的编辑在处理稿件的过程中,首先要选择好审稿人,对于返回的审稿意见要准确把握;要起好作者与审稿人之间的桥梁作用,使作者与审稿人之间有适当的意见交流;要在编校过程中积累经验,注意对文章中试验材料和方法、图表、数据以及参考文献的审读与加工.     

2008-2013年中外科技期刊载文与引证指标分析

基于2008-2013年Thomson Reuters发布的Journal Citation Reports (JCR)及中国科学技术信息研究所发布的《中国科技期刊引证报告》(CJCR),比较分析中外科技期刊载文量、总被引频次、影响因子、即年指标等各主要文献计量指标的变化.结果显示,我国被SCI收录期刊的数量和影响力指标近年来总体上呈上升态势,但年平均载文量却稍有下降,以中文期刊为主的CJCR收录期刊数量和年平均载文量均呈停滞增长甚至下降的趋势.这可能表明我国科技期刊的稿源竞争力有所下降.     

Articles vs. proceedings papers: Do they differ in research relevance and impact? A case study in the Library and Information Science field

In 2008, the type of document “proceedings paper” (PP) was assigned in the WoS database to journal articles which were initially presented at a conference and later adapted for publication in a journal. Since the use of two different labels (“article” and “proceedings paper”) might lead to infer differences in their relevance and/or quality, this paper presents a comparative study of standard journal articles and PP in journals to explore potential differences between them. The study focuses on the Library and Information Science field in the Web of Science database and covers the 1990–2008 period. PP approximately account for 9% of the total number of articles in this field, two-thirds of which are published in monographic issues devoted to conferences, which tend to be concentrated in specific journals. Proceedings papers emerge as an heterogeneous set comprising PP in ordinary issues, similar to standard articles in structure and impact of research; and PP in monographic issues, which seem to be less comprehensive and tend to receive less citations. Faster publication of PP in monographic than in ordinary issues may conceal differences in the review process undergone by either type of paper. The main implications of these results for authors, bibliometricians, journal editors and research evaluators are pointed out.     

内外结合觅选题 打开编辑学论文写作通道

撰写编辑学论文,是科技期刊青年编辑业务能力提升和个人发展的需要,也是加速个人成长的有效途径。确定选题是撰写论文的必要条件,在凸显编辑主体主观能动性的基础上,从内在和外在因素2个维度对如何发现选题进行探讨,帮助青年编辑尽快打开论文写作通道。其中:内在因素包括困惑破解、经验积累、自我学习、情怀表达等,这是开展研究的“源头活水”,青年编辑据此可以较容易地觅到选题;外在因素则包括新闻热点关注、与同行交流、向前辈学习等,借助这些“他山之石”,青年编辑可拓宽选题思路,对感兴趣的编辑学研究专题进行深耕细作。     

“红点指标”分析对康复医学类期刊选题组稿的启示

选择2018年“中国科技核心期刊”目录收录的7种康复医学类期刊上发表的1434篇论文为数据来源,通过高频     

规范使用SCI下科技评价的问题与解决路径研究

[目的/意义]教育部、科技部2020年发布了《关于规范高等学校SCI论文相关指标使用树立正确评价导向的若干意见》,对意见推广后可能存在的问题进行深度分析并提出改进思路具有重要意义。[方法/过程]本文从评价对象、评价方法、评价目的、评价管理等方面进行分析,对规范使用SCI论文评价的适用范围与存在问题进行探讨。[结果/结论]研究发现,规范使用SCI存在少部分SCI期刊质量不高、SCI论文只适用于微观评价、代表作“代表性”不够、数量指标与质量指标难以兼顾、评价管理有待改进等等问题。提出了如下政策建议:以高水平SCI期刊作为评价依据;强化黑名单制度;宏观评价要发挥SCI论文的主导作用;鼓励采用一些文献计量指标进行评价;微观评价建议兼顾代表作与SCI论文数量;一般高校对研究生毕业论文应该有所要求。最后指出,SCI论文的规范应用需要深化高校科技管理体制改革;解决SCI论文的评价问题需要循序渐进;要重视SCI论文的科研符号功能。     

Identification of highly-cited papers using topic-model-based and bibliometric features: the consideration of keyword popularity

The number of received citations have been used as an indicator of the impact of academic publications. Developing tools to find papers that have the potential to become highly-cited has recently attracted increasing scientific attention. Topics of concern by scholars may change over time in accordance with research trends, resulting in changes in received citations. Author-defined keywords, title and abstract provide valuable information about a research article. This study performs a latent Dirichlet allocation technique to extract topics and keywords from articles; five keyword popularity (KP) features are defined as indicators of emerging trends of articles. Binary classification models are utilized to predict papers that were highly-cited or less highly-cited by a number of supervised learning techniques. We empirically compare KP features of articles with other commonly used journal-related and author-related features proposed in previous studies. The results show that, with KP features, the prediction models are more effective than those with journal and/or author features, especially in the management information system discipline.     

欧美科技论文网络共享的实践方式及发展特点

随着数字化时代的来临,网络技术的不断创新发展,科技论文亦逐步迈向期刊网络化及快速共享的道路。本文在陈述欧美国家科技论文网络共享的主要四种实践方式基础上,进一步分项探讨其发展特点,以供中国科技论文于网络共享实践发展之借鉴参考。